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Journal Abstract Search

690 related items for PubMed ID: 16764505

  • 1. Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States.
    Miller P.
    Neural Comput; 2006 Jun; 18(6):1268-317. PubMed ID: 16764505
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  • 2. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons.
    Jackson BS.
    Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210
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  • 3. Mean-driven and fluctuation-driven persistent activity in recurrent networks.
    Renart A, Moreno-Bote R, Wang XJ, Parga N.
    Neural Comput; 2007 Jan; 19(1):1-46. PubMed ID: 17134316
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  • 4. Attractor reliability reveals deterministic structure in neuronal spike trains.
    Tiesinga PH, Fellous JM, Sejnowski TJ.
    Neural Comput; 2002 Jul; 14(7):1629-50. PubMed ID: 12079549
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  • 6. A Markov model for interspike interval distributions of auditory cortical neurons that do not show periodic firings.
    Britvina T, Eggermont JJ.
    Biol Cybern; 2007 Feb; 96(2):245-64. PubMed ID: 17082952
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  • 7. Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy.
    Jolivet R, Lewis TJ, Gerstner W.
    J Neurophysiol; 2004 Aug; 92(2):959-76. PubMed ID: 15277599
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  • 10. Local shuffling of spike trains boosts the accuracy of spike train spectral analysis.
    Rivlin-Etzion M, Ritov Y, Heimer G, Bergman H, Bar-Gad I.
    J Neurophysiol; 2006 May; 95(5):3245-56. PubMed ID: 16407432
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  • 11. Network capacity analysis for latent attractor computation.
    Doboli S, Minai AA.
    Network; 2003 May; 14(2):273-302. PubMed ID: 12790185
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  • 13. A unified approach to building and controlling spiking attractor networks.
    Eliasmith C.
    Neural Comput; 2005 Jun; 17(6):1276-314. PubMed ID: 15901399
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  • 14. Stochastic description of complex and simple spike firing in cerebellar Purkinje cells.
    Shin SL, Rotter S, Aertsen A, De Schutter E.
    Eur J Neurosci; 2007 Feb; 25(3):785-94. PubMed ID: 17328774
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  • 15. Spatiotemporal spike encoding of a continuous external signal.
    Masuda N, Aihara K.
    Neural Comput; 2002 Jul; 14(7):1599-628. PubMed ID: 12079548
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  • 17. Gaussian process approach to spiking neurons for inhomogeneous Poisson inputs.
    Amemori KI, Ishii S.
    Neural Comput; 2001 Dec; 13(12):2763-97. PubMed ID: 11705410
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  • 18. Context-dependent retrieval of information by neural-network dynamics with continuous attractors.
    Tsuboshita Y, Okamoto H.
    Neural Netw; 2007 Aug; 20(6):705-13. PubMed ID: 17446042
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